recording_length = 30 #
pred_interval = 0.5 # when to make a prediction in seconds
fs = fs_dict[HEADSET]
classifier = CcaExtraction(fs)
pred_interval = int(fs * pred_interval)
# Load data from files
data = {}
fio = FileReader()
try:
baseline = fio.get_data(HEADSET,
filter_,
cutoff=1,
notch=notch,
highpass=highpass,
bandpass=bandpass,
corr_freq='Baseline',
trial=trial,
session=1)
data['Baseline'] = baseline
except:
pass
for corr_freq in corr_frequencies:
sample = fio.get_data(HEADSET,
filter_,
cutoff=1,
limit=recording_length * fs,
notch=notch,
highpass=highpass,
bandpass=bandpass,
